Update app.py

app.py

@@ -12,7 +12,7 @@ try:
 except ImportError:
     os.system('pip install toml')
     import toml
-print('todo en orden')
+
 model = GraphormerForGraphClassification.from_pretrained("PedroLancharesSanchez/graph-regression")
 
 def predict(instancia):
@@ -32,12 +32,6 @@ def predict(instancia):
         logits = model(**inputs).logits
     return str(logits.item())
 
-ejemplos = '''{"node_feat": [[0],[0],[0],[0],[0],[0],[0],[0],[1],[0],[0],[0],[0],[1],[2],[0],[0],[0],[0],[0],[0],[3],[0],[0]],
-     "edge_index": [[0,1,1,1,1,2,3,4,4,4,5,5,6,6,7,7,7,8,8,9,9,10,10,10,11,11,12,12,12,13,14,14,15,15,15,16,16,17,17,18,18,19,19,20,20,20,21,22,22,22,23,23]],
-     "edge_attr": [[1],[1],[1],[1],[1],[1],[1],[1],[2],[1],[2],[1],[1],[2],[2],[1],[1],[1],[1],[1],[2],[2],[1],[1],[1],[1],[1],[2],[1],[2],[1],[1],[1],[2],[1],[2],[1],[1],[2],[2],[1],[1],[2],[1],[2],[1],[1],[1],[1],[2],[1],[2]],
-     "y": [3.1381945610046387],
-     "num_nodes": 24}'''
-
 # Crear la interfaz Gradio
-interfaz = gr.Interface(fn=predict, inputs="file", outputs='text', examples=['grafo1.json'])
+interfaz = gr.Interface(fn=predict, inputs="file", outputs='text', examples=['grafo1.json','grafo2.json','grafo3.json'])
 interfaz.launch(share=False)